LnRI_norm | R Documentation |
Model of remigration interval
The vector of parameters must include:
sx, survival for year x
if s is included, all years have the same survival
tx, Tag retention for year x
rx, probability of return for year x
cx, probability of return for year x
px, probability of observation for year x
LnRI_norm(data, x, kl = NULL)
data |
Data with remigration intervals |
x |
Vector of parameters |
kl |
Maximum number of years for remigration intervals. |
lnRI_norm returns a ln L
Return a remigration interval.
Marc Girondot
Other Model of Remigration Interval:
Bayesian.remigration()
,
RI()
,
plot.Remigration()
## Not run:
library(phenology)
# Example
# Each year a fraction of 0.9 is surviving
s <- c(s1=0.9, s2=0.9, s3=0.9, s4=0.9, s5=0.9)
# Probability of tag retention; 0.95 the first year then after no loss
t <- c(t1=0.95, t2=1, t3=1, t4=1, t5=1)
# Time-conditional return probability - This is the true remigration rate
r <- c(r1=0.1, r2=0.8, r3=0.7, r4=0.7, r5=1)
# Capture probability
p <- c(p1=0.6, p2=0.6, p3=0.6, p4=0.6, p5=0.6)
# Number of observations for 400 tagged females after 1, 2, 3, 4, and 5 years
OBS <- c(400, 10, 120, 40, 20, 10)
# Likelihood of the observed number based on the model
LnRI_norm(data=OBS, x = c(s, t, r, p, sd=2) )
LnRI_norm(data=OBS, x = c(s=0.97, t, r, p, sd=2) )
## End(Not run)
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